Metaphorical Expression of Emotions in Modern Music Composition Based on Emotional Calculations

[1] Budd, M. (2012). The musical expression of emotion: metaphorical-as versus imaginative-as perception. Estetika: The Central European Journal of Aesthetics, 49(2), 131-147. Search in Google Scholar

[2] Zhang, H., Meng, L., & Zhang, J. (2022). Why musical emotion can be induced by harmony? the effect and cognitive mechanism of musical consonance. Advances in Psychological Science, 30(4), 817-833. Search in Google Scholar

[3] Guo, R. (2023). Cultivation of music creation and creative ability in composition teaching in colleges and universities. The Educational Review, USA. Search in Google Scholar

[4] Xu, N., & Zhao, Y. (2021). Online education and wireless network coordination of electronic music creation and performance under artificial intelligence. Hindawi Limited. Search in Google Scholar

[5] Liu, M. (2021). Research on music teaching and creation based on deep learning. Mobile information systems. Search in Google Scholar

[6] Yang, L., & Yue, S. (2021). An analysis of the characteristics of music creation in mefistofele. 2021 International Conference on Education, Humanity and Language, Art (EHLA 2021). Search in Google Scholar

[7] Zheng, K., Meng, R., Zheng, C., Li, X., Sang, J., & Cai, J., et al. (2021). Emotionbox: a music-element-driven emotional music generation system using recurrent neural network. Search in Google Scholar

[8] Zuzana Sláviková, & Eva Králová. (2021). Emotions in music and their impact on the emotions of percipients: research on human voice and singing. Walter de Gruyter GmbH(1). Search in Google Scholar

[9] Arora, S., & Tyagi, A. (2022). Music as a blend of spirituality, culture, and mind mollifying drug. Applied acoustics(Feb.), 189. Search in Google Scholar

[10] Nag, S., Basu, M., Sanyal, S., Banerjee, A., Ghosh, D., & Dawson, K. A., et al. (2022). On the application of deep learning and multifractal techniques to classify emotions and instruments using indian classical music. Physica A: Statistical Mechanics and its Applications, 597, 127261-. Search in Google Scholar

[11] Wang, D., & Guo, X. (2021). Research on intelligent recognition and classification algorithm of music emotion in complex system of music performance. Complexity, 2021. Search in Google Scholar

[12] Xinhao, Z. (2021). The practice of string sound source in computer music production-take pop music production as an example. Clausius Scientific Press. Search in Google Scholar

[13] Chen, C. L. L. W. L. (2021). Research on the app1ication of computer techno1ogy in music creation. Journal of Physics: Conference Series, 1883(1), 012031 (5pp). Search in Google Scholar

[14] Zhang, Y., & Li, Z. (2021). Automatic synthesis technology of music teaching melodies based on recurrent neural network. Scientific programming(Pt.13), 2021. Search in Google Scholar

[15] Farris, N., Model, B., Savery, R., & Weinberg, G. (2021). Musical prosody-driven emotion classification: interpreting vocalists portrayal of emotions through machine learning. Search in Google Scholar

[16] Wang, J., Wang, Q., & Liu, H. (2021). Emotion recognition of musical instruments based on convolution long short time memory depth neural network. Journal of Physics: Conference Series, 1976(1), 012015 (5pp). Search in Google Scholar

[17] Zhou, X., Wu, Y., Zheng, Y., Xiao, Z., Zheng, M., & Chen, S., et al. (2022). The mechanism and neural substrate of musical emotions in the audio-visual modality. Psychology of Music. Search in Google Scholar

[18] Yinger, O. S., & Springer, D. G. (2022). Using psycholinguistic inquiry and content analysis to investigate emotions in memories of musical experiences:. Musicae Scientiae, 26(2), 227-242. Search in Google Scholar